I'm a software engineer with 10+ years of experience passionate about bridging the gap between cutting-edge AI and enterprise infrastructure. Currently, I'm focused on building robust, scalable LLM applications and distributed systems.
I'm a technical founder of Eidolon AI, an agent framework that enables developers to rapidly build and deploy production-grade AI applications. Some highlights:
- π€ Pioneered auto-discoverable multi-agent architecture
- π Secret Free, deterministic testing framework built in
- π Growing community with 200+ unique users
An LLM-powered coding assistant designed to integrate directly with your version control system.
- Reduces compute by deduplicating work done per-developer (embeddings, prject exploration, etc)
- Allows teams to optimize systems per-project rather than individual developers re-honing local agents / prompts
- Obvious integration point for PR assistant agents to make small (and eventually large) changes.
A typed Python OpenAI client featuring:
- Pydantic-based schema definitions for tool calls and structured output
- Full streaming support
- IDE type hints
- Distributed Systems: Built and scaled enterprise ML platforms at DataRobot and Paxata
- Infrastructure: Extensive experience with Kubernetes, Docker, Helm, and cloud platforms (AWS, Azure)
- Languages: Python, Scala, Java, TypeScript
- Big Data: Apache Spark, MongoDB, Vector DBs
- MLOps: CI/CD pipelines, testing frameworks, deployment automation
Always interested in collaborating on innovative projects in AI, distributed systems, and developer tools. Feel free to reach out!